R MLstudio is described as 'The ML Studio is interactive for EDA, statistical modeling and machine learning applications. Based on Shiny, with Plotly interactive data visualization, DT HTML tables and H2O machine learning and deep. data science pipeline workflow' and is an app in the development category. There are more than 10 alternatives to R MLstudio for a variety of platforms, including Windows, Linux, Mac, R (programming language) and SaaS apps. The best R MLstudio alternative is BlueSky Statistics, which is both free and Open Source. Other great apps like R MLstudio are Rattle, datarobot, R mlr and python auto-sklearn.
BlueSky Statistics is a fully featured statistics application and development framework built on the open source R project.
BlueSky Statistics is the most popular Windows alternative to R MLstudio.
BlueSky Statistics is the most popular Open Source & free alternative to R MLstudio.
Rattle is a GUI for data mining using R. All interactions through the graphical user interface are captured as R script. It presents statistical and visual summaries of data, transforms data, builds machine learning models, and scores new datasets.
Rattle is the most popular Mac & Linux alternative to R MLstudio.
DataRobot's automated machine learning platform makes it fast and easy to build and deploy accurate predictive models. Learn how you can become an AI-driven enterprise today.
datarobot is the most popular Web-based, SaaS & Self-Hosted alternative to R MLstudio.
datarobot is the most popular commercial alternative to R MLstudio.
mlr provides this so that you can focus on your experiments! The framework provides supervised methods like classification, regression and survival analysis along with their corresponding evaluation and optimization methods, as well as unsupervised methods like clustering.
auto-sklearn is an automated machine learning toolkit. frees a machine learning user from algorithm selection and hyperparameter tuning. Bayesian optimization, meta-learning and ensemble construction.
The caret package (short for _C_lassification _A_nd _RE_gression _T_raining) is a set of functions that attempt to streamline the process for creating predictive models. data splitting pre-processing feature selection model tuning using resampling.
H2O is an open source, in-memory, distributed, fast, and scalable machine learning and predictive analytics platform that allows you to build machine learning models on big data and provides easy productionalization of those models in enterprise env.
Aureo.io is a revolutionary low-code platform that focuses on building artificial intelligence. It provides users with the capability to create pipelines, automations and integrate them with artificial intelligence models – all with their basic data.
Build & deploy ML models faster on unstructured data. No specialized skills required. Easy-to-use & scalable SaaS platform.
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